Abstract: A power conversion device includes a DC-to-DC converter and a control unit, the control unit includes a phase-locked loop controller, and the DC-to-DC converter includes a primary side circuit, a secondary side circuit and a transformer. The transformer transfers energy between the primary side circuit and the secondary side circuit, the primary side circuit includes an inverter circuit, and the phase-locked loop controller outputs a first driving signal. The first driving signal is generated according to a phase jitter signal, a phase reference signal and an output phase signal of the inverter circuit, and the first driving signal is configured to control the inverter circuit.

Abstract: Disclosed in the present invention are a dynamic maximal clique enumeration device and method based on an FPGA with an HBM, the method including: the HBM stores a dynamic edge flow, a complete graph adjacency matrix, and candidate cliques; a matrix computing unit updates the complete graph adjacency matrix based on the dynamic edge flow, transmits the updated complete graph adjacency matrix to the HBM for storage, and determines header nodes, of which the corresponding candidate clique needs to be updated; a sequence computing unit constructs, according to the updated complete graph adjacency matrix and each header node to be updated, the sorted data set for reconstructing candidate cliques by data block sequencing; and an update computing unit executes, in parallel, an update task of the candidate clique corresponding to each header node to be updated based on the sorted data set, transmits the updated candidate cliques to the HBM for storage, and transmits the updated candidate cliques to the PC host to ext

Abstract: An embodiment registers a node and a data object on a blockchain. The embodiment schedules by a Scheduler an object task associated with the data object in a Data Controller, generating a task execution token by the Data Controller on the blockchain where the task execution token is associated with the object task. The embodiment senses the task execution token by the node received from the Data Controller; responsive to the sensed task execution token executes the object task on the node and generating a node energy consumption metric and an energy consumption token of the object task on the blockchain. The embodiment also sends the energy consumption token to the Data Controller from the node causing a smart contract to compute a task energy consumption metric based on the node energy consumption metric where the data object on the blockchain is updated with the task energy consumption metric.

Abstract: A blockchain-based transaction system for a green certificate includes an audit node, a proxy node, and an off-chain node. The proxy node is used by a power producer and a purchaser; the audit node verifies qualification information of the power producer, and send a green certificate to the power producer; the off-chain node predicts a transaction price of a next transaction; when receiving sale information of the power producer and purchase information of the purchaser, the proxy node sends the sale information, a digital signature of the power producer, the purchase information, and a digital signature of the purchaser to the off-chain node; the off-chain node matches the sale information and the purchase information, and sends successfully matched transaction information to the proxy node; the proxy node sends the successfully matched transaction information to a transaction smart contract; and the transaction smart contract performs transaction processing.

Abstract: A measurement method for the impedance of the converter at multiple operating points based on the secondary-side disturbance includes the following steps: superimposing the positive sequence current disturbance in the current sampling value; superimposing the positive sequence voltage disturbance in the voltage sampling value; determining whether measurement data of the converter at two or more current operating points are obtained, if so, based on the measurement data of the converter at two current operating points, calculating values of A(s) and B(s); further calculating values of coefficients at each frequency point, and obtaining the impedance value of the converter at multiple current operating points by calculation. The above-mentioned measurement method overcomes the disadvantages of high cost and complicated operation of the impedance measurement method based on the primary-side disturbance, and solves the problem of lacking the pre-judgment function.

Abstract: A system used for conducting transcranial magnetic stimulation (TMS) in a small animal is disclosed. The system may comprise: a miniaturized coil comprising C-shaped magnetic iron core having a first base and a second base, and having insulated copper wires wound around the magnetic iron core; and a stimulator that is configured to generate TMS pulses through the miniaturized coil. A method for conducting transcranial magnetic stimulation (TMS) in a small animal is also disclosed. The method may comprise: placing a miniaturized coil proximate a skull of the small animal, and generating an E-field in a brain of the small animal using the miniaturized coil.

Abstract: The present disclosure relates to the technical field of magnesium metallurgy, and in particular to a device and method for magnesium smelting by vacuum carbothermal reduction of calcined dolomite. The device includes a reaction chamber, a condensation chamber, a first temperature regulation module and an air pressure regulation module, and the reaction chamber is communicated with the condensation chamber via a gas-guide tube. In the present disclosure, different condensation zones are utilized to sequentially condense gaseous products based on dew points, effectively preventing impurities from entering the condensation process of magnesium.

Abstract: An affine prediction method, a computing device and a non-transitory storage medium are disclosed. The method includes obtaining a current coding block comprising a plurality of sub-blocks arranged in an array; dividing the current coding block into at least two areas, wherein each area of the at least two areas comprises two or more of the sub-blocks; setting a corresponding control point motion vector (CPMV) for one or more control points in the each area, respectively; and affine-predicting motion vectors (MVs) of the two or more of the sub-blocks in the each area, using the corresponding CPMV.

Abstract: Provided is a spinning workshop inspection method, an electronic device and a storage medium, relating to technical fields of computers. The spinning workshop inspection method includes: acquiring first image information of an inspection passage when an inspection robot inspects a first position corresponding to the first spinning box in the inspection passage; determining a second spinning box from spinning boxes when the first image information includes a first detection object; acquiring second image information of the inspection passage when the inspection robot inspects a second position corresponding to the second spinning box in the inspection passage; and determining state information of the first detection object based on the first and second image information.

Abstract: The present disclosure relates to a method for predicting an amount of water-sealed gas in a high-sulfur water-bearing gas reservoir. The method solves the problem that no method has yet been proposed for predicting the amount of water-sealed gas in a high-sulfur water-bearing gas reservoir. According to the technical solution, the method includes: considering that the volume of the gas reservoir does not change during the production of the constant-volume gas reservoir, deriving, based on a material balance method, a material balance equation of the high-sulfur water-bearing gas reservoir in consideration of water-sealed gas and water-soluble gas, solving and drawing a chart of water-sealed gas in the high-sulfur water-bearing gas reservoir by an iterative algorithm, obtaining a recovery factor of the high-sulfur water-bearing gas reservoir in consideration of water-sealed gas and water-soluble gas, and further obtaining the amount of water-seal gas in the high-sulfur water-bearing gas reservoir.

Abstract: Provided is a transfer vehicle, including: a vehicle body; a rotating mechanism, including an annular track vertically arranged above the vehicle body, a crawler belt arranged along an end surface of the annular track, and a first driving device connected to the crawler belt; a plurality of material receiving rods arranged at intervals on a side of the rotating mechanism, wherein each material receiving rod includes an inner rod and an outer rod sleeved on the inner rod, and the inner rod is connected to the crawler belt; a docking auxiliary mechanism arranged beside a docking station on the side of the rotating mechanism, including a pushing device and a positioning device, wherein the positioning device is configured to determine an orientation of a target docking position; and a control mechanism configured to control movement of the vehicle body.

Abstract: Provided is a doffing scheduling method and apparatus for yarn spindle product, and storage medium, applied in an automatic doffing system, relating to the field of computer technology, and particularly to the field of automation control. The automatic doffing system is connected to an automated guided vehicle, (AGV) and an overhead rail doffing vehicle, the AGV and the overhead rail doffing vehicle being deployed in different vertical spaces within a target workshop. The method includes: determining a target doffing vehicle corresponding to a first winding machine in the target workshop from the AGV and the overhead rail doffing vehicle based on time-related information of doffing the yarn spindle product in all or part of winding machines in the target workshop; scheduling the target doffing vehicle to complete a doffing task of the yarn spindle product in the first winding machine.

Abstract: The present provides an affine prediction method and related devices. The method may include: dividing a current coding block into multiple sub-blocks, and determining an initial prediction value of all pixels in each of the sub-blocks; dividing each of the sub-blocks into multiple fraction blocks, wherein at least one of the fraction blocks comprises at least two integer pixels; determining a motion vector difference and a gradient of each of the fraction blocks; calculating a pixel compensation value of each of the fraction blocks based on the motion vector difference value and the gradient; taking the pixel compensation value of each of the fraction blocks as a pixel compensation value of all pixels in each of the fraction blocks; and calculating a final prediction value of each pixel in the current coding block by the initial prediction value of each pixel and the pixel compensation value.

Abstract: A method of intelligent prediction of coal stress and different diameters pressure relief based on optimization neural network collects the drilling parameters while drilling the pressure-relief boreholes at one working face and to obtain the stress values using the accompanying boreholes of the pressure-relief boreholes to construct the prediction model; in this way, the prediction model is applied to predict the value of mining stress when drilling pressure-relief borehole in other working faces; according to the prediction results, the distribution law of mining stress is analyzed, and then the reaming position, length of reaming section and hole diameter of the pressure relief borehole are determined; the present invention monitors the pressure-relief borehole construction process of accompanying borehole parameters at the same time, monitoring the adjacent accompanying borehole corresponding to the depth of the drilling borehole coal stress value.

Abstract: A method for acquiring motion vectors includes: obtaining a number of related motion vectors of a current block, wherein the number of related motion vectors are motion vectors of a related block of the current block, a prediction mode of the related block is the same as a current prediction mode of the current block, an encoding has been completed; determining weights of at least part of the number of related motion vectors; and calculating a weighted motion vector of the current block based on at least part of the number of related motion vectors and the weights of at least part of the plurality of related motion vectors.

Abstract: A sub-block motion prediction method includes: obtaining a reference block, a co-located frame, and a reference frame of a current block; obtaining a motion vector of the current block, wherein the motion vector corresponds to a set of reference parameters; obtaining a co-located block of a sub-block based on the set of reference parameters, wherein a plurality of sub-blocks are obtained by dividing the current block; obtaining a candidate motion vector of each sub-block based on a motion vector of the co-located block; and obtaining a sub-block motion prediction result of the current block based on all candidate motion vectors of all sub-blocks and following a principle of consuming a minimal prediction cost.

Abstract: A video processing method and an electronic device are provided. The method includes: obtaining a to-be-processed video sequence; resampling at least one picture of the to-be-processed video sequence, and encoding the at least one picture based on a quantization parameter after resampling; the quantization parameter after resampling is obtained by offsetting a quantization parameter before resampling based on an offset value of quantization parameters of the to-be-processed video sequence, and each resampled picture is encoded to obtain an encoded picture; and performing a picture resolution reconstruction on the encoded picture as an input picture to generate an output picture; the output picture has a resolution higher than a resolution of the input picture.

Abstract: The present disclosure relates to a motion vector prediction method, a video coding method, and related apparatuses and devices. The motion vector prediction method includes: acquiring a candidate list of a current coding block in a preset prediction mode, where the candidate list includes a plurality of candidate motion vectors; performing a motion search of the plurality of candidate motion vectors in the candidate list to obtain an initial optimal motion vector of the current coding block in the preset prediction mode; performing motion compensation on the initial optimal motion vector by using each of a first preset number of pixel accuracies, to determine a final optimal motion vector of the current coding block, where the preset prediction mode comprises any one of a plurality of prediction modes, and pixel accuracies used in any one of the prediction modes are identical.

Abstract: A display substrate, including: a base substrate; a plurality of data lines on the base substrate; a first insulating layer on a side of the plurality of data lines away from the base substrate; a plurality of gate lines on a side of the first insulating layer away from the plurality of data lines, where extension directions of the gate and data lines are intersected; a second insulating layer on a side of the plurality of gate lines away from the first insulating layer; and a first electrode on a side of the second insulating layer away from the plurality of gate lines, where at least a portion of an orthographic projection of the first electrode on the base substrate is within an region surrounded by orthographic projections of two adjacent data lines on the base substrate and orthographic projections of two adjacent gate lines on the base substrate.

Abstract: An information handling system includes a storage and a processor. The storage stores a key file in a partition of the storage. The processor receives a request for the key file and determines whether the key file is located within the partition of the storage. In response to the key file not being within the partition of the storage, the processor retrieves metadata for the key file. The processor determines a physical location for the key file based on the metadata. Based on the physical location, the processor retrieves segments of the key file from the partition of the storage. The processor downloads segments of the key file from a backend server. The processor re-creates the key file based on the segments of the key file retrieved from the partition of the storage and on the segments of the key file downloaded from the backend server.